Now that’s some interesting back story. I could see that if one knew that the route from positive test through to establishing conclusively if cancer is present was a fluid path, one might not be overly concerned with the test result itself.
As to this specific problem, I just used what EY used; perhaps there are more applicable/pertinent statistics problems that could be used.
I’ve been trying to think of other visualization tools that might be more universal or intuitive. I get the sliding java applets, but think if one can tie what they’re showing to a real world tool or process of some sort, it will help. What these are doing is no different than his. The “top bar” are the two original spheres. The “bottom bar” is the reduced amount of each sphere (0.8 x 0.01 and 0.096 x 0.99) that remains after sifting.
Now that’s some interesting back story. I could see that if one knew that the route from positive test through to establishing conclusively if cancer is present was a fluid path, one might not be overly concerned with the test result itself.
As to this specific problem, I just used what EY used; perhaps there are more applicable/pertinent statistics problems that could be used.
I’ve been trying to think of other visualization tools that might be more universal or intuitive. I get the sliding java applets, but think if one can tie what they’re showing to a real world tool or process of some sort, it will help. What these are doing is no different than his. The “top bar” are the two original spheres. The “bottom bar” is the reduced amount of each sphere (0.8 x 0.01 and 0.096 x 0.99) that remains after sifting.
Just a different way to look at it.